Specifics of the Application of Cybernetic Methods in Forensic Handwriting Examination

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

This article discusses the possibilities of applying cybernetic methods in the production of forensic handwriting examinations at the present stage. The authors describe the history, current state and development trends of this direction of mathematical modeling. Analyzes the practical experience of Western and African criminologists in this area of special knowledge application. The peculiarities of the application of methods that are most widely used in Eastern, Western Europe and Africa are described: GLOBALGRAF, CEDAR-FOX, Cybid Graphlog, FLASH ID, WANDA. The key functions and algorithms of the mentioned computer complexes and programs, certain advantages and disadvantages in relation to the traditional qualitative-descriptive method of identification forensic handwriting examination are disclosed.

On the basis of the results formed the conclusion about the auxiliary value of cybernetic methods (techniques) and the need for their use in addition to the existing methodological tools through the application of a comprehensive methodology. This format will allow handwriting experts to determine some additional features of handwriting, to automate part of the stages and stages of expert examination, will contribute to its comprehensiveness and objectivization, as well as increase the scientific validity and reliability of the conclusions obtained.

Full Text

Restricted Access

About the authors

Stanislav M. Bobovkin

3 Kikot’ Moscow University of the Ministry of Internal Affairs of Russia

Author for correspondence.
Email: s.m.bobovkin@yandex.ru

Candidate of Science (Law), Associate Professor of the Department

Russian Federation, Moscow

Ol’ga A. Didenko

Kikot’ Moscow University of the Ministry of Internal Affairs of Russia

Email: diola4@mail.ru

Candidate of Science (Law), Associate Professor, Deputy Head of the Department

Russian Federation, Moscow

Rosa V. Bondarenko

Kikot’ Moscow University of the Ministry of Internal Affairs of Russia

Email: bon_roz@mail.ru

Candidate of Science (Law), Associate Professor, Associate Professor of the Department

Russian Federation, Moscow

References

  1. Rossinskaya, E. R. Shamaev, G. P. New section of criminalistics: forensic investigation of computer means and systems. Izvestiya Irkutskoj gosudarstvennoj ekonomicheskoj akademii (Bajkal'skij gosudarstvennyj universitet ekonomiki i prava) = Proceedings of the Irkutsk State Economic Academy (Baikal State University of Economics and Law). 2015;6(1). URL: http://eizvestia.isea.ru/reader/article. aspx?id=19969. doi: 10.17150/2072-0904.2015.6(1).19. (In Russ.)
  2. Sysoev, E. V., Seleznev, A. V., Rak, I. P., Burtseva, E. V. New Information Technologies in Forensic Expertise. Textbook. Tambov: Publishing House of Tambov State Technical University; 2006. 84 p. (In Russ.) ISBN: 5-8265-0523-0.
  3. Bobovkin, M. V., Ruchkin, V. A., Solov’eva, N. A. Forensic handwriting: current issues of development.
  4. Sudebnaya ekspertiza = Forensic Expertise. 2021;(4):32-41. (In Russ.) doi: 10.25724/VAMVD.WOPQ.
  5. Kozinets, B. N., Lantsman, R. M., Yakubovich, V. A. Handwriting recognition and differentiation by means of electronic computing machines. In: A. A. Feldbaum ed. Self-training automatic systems. Collection of articles. Moscow: Nauka; 1966. Рр. 21–28. (In Russ.)
  6. Srihari, S. N., Zhixin, Shi. Forensic Handwritten Document Retrieval System. Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIALL'04). 2004. URL: https:// www.researchgate.net/profile/Zhixin-Shi/publication/220916268_Forensic_Handwritten_Document_ Retrieval_System/links/00b495295f7ea4066d000000/Forensic-Handwritten-Document-RetrievalSystem.pdf.
  7. Crawford, A. M., Berry, N. S., Carriquiry, A. L. A clustering method for graphical handwriting components and statistical writing analysis. Stat Anal Data Min: The ASAData Sci Journal. 2021;(14):41-60. URL: https://onlinelibrary.wiley.com/doi/full/10.1002/sam.11488. DOI: https://doi.org/10.1002/sam.11488.
  8. Franke, K., Schomaker, L. R. B., Veenhuis, C., et al. WANDA: A Generic Framework applied in Forensic Handwriting Analysis and Writer Identification, Design and Application of Hybrid Intelligent Systems. Amsterdam, The Netherlands: IOS Press; 2003. URL: https://www.academia.edu/452853/ Wanda_A_Generic_Framework_Applied_In_Forensic_Handwriting_Analysis_and_Writer_Identification.
  9. Goc, M. Computer Programs – Possibilities for New Quality in Handwriting Examination. Kriminalist pervopechatnyj = Forensic First Printing. 2017;(14):65-74.

Supplementary files

Supplementary Files
Action
1. JATS XML

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).